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license: apache-2.0 |
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moondream2 is a small vision language model designed to run efficiently on edge devices. Check out the [GitHub repository](https://github.com/vikhyat/moondream) for details. |
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**Benchmarks** |
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| Release | VQAv2 | GQA | TextVQA | POPE | TallyQA | |
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| --- | --- | --- | --- | --- | --- | |
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| **2024-03-04** (latest) | 74.2 | 58.5 | 36.4 | (coming soon) | (coming soon) | |
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**Usage** |
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```bash |
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pip install transformers timm einops |
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``` |
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```python |
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from transformers import AutoModelForCausalLM, AutoTokenizer |
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from PIL import Image |
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model_id = "vikhyatk/moondream2" |
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model = AutoModelForCausalLM.from_pretrained( |
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model_id, trust_remote_code=True, revision="2024-03-04" |
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) |
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tokenizer = AutoTokenizer.from_pretrained(model_id, revision="2024-03-04") |
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image = Image.open('<IMAGE_PATH>') |
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enc_image = model.encode_image(image) |
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print(model.answer_question(enc_image, "Describe this image.", tokenizer)) |
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``` |
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The model is updated regularly, so we recommend pinning the model version to a |
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specific release as shown above. |
